Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors.
One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co.
KG Author(s): Geon Ho Choe Illustration(s): 10 Tables, black and white; 250 Illustrations, black and white; XX, 453 p.
250 illus.
Number of pages: 453 Collection: Algorithms and Computation in Mathematics Publication date: 2005 Dimensions: 234 x 162 x 31 Cover type: Hardback.
| Remark | The last chapter explains the relation between entropy and data compression which belongs to information theory and not to ergodic theory |
|---|---|
| Publisher | Springerverlag |
| Author(s) | Geon |
| Illustration(s) | 10 |
| Number of pages | 453 |
| Collection | Algorithms and |
| Publication date | 2005 |
| Dimensions | 234 x 162 x 31 |
| Cover type | Hardback |
Springer-verlag Berlin And Heidelberg Gmbh & Co. K Computational ergodic theory. 2005 ed., hardback/geon ho choe
